What is the official website of Bridon® Steel Wire Ropes by Bekaert ?

The official website of Bridon® Steel Wire Ropes by Bekaert is http://www.ropes.bekaert.com.

What is Bridon® Steel Wire Ropes by Bekaert's cybersecurity risk score?

Bridon® Steel Wire Ropes by Bekaert has an AI-generated cybersecurity risk score of 732 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Bridon® Steel Wire Ropes by Bekaert experienced?

According to Rankiteo, Bridon® Steel Wire Ropes by Bekaert currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Bridon® Steel Wire Ropes by Bekaert been affected by any supply chain cyber incidents ?

According to Rankiteo, Bridon® Steel Wire Ropes by Bekaert has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Bridon® Steel Wire Ropes by Bekaert have SOC 2 Type 1 certification ?

According to Rankiteo, Bridon® Steel Wire Ropes by Bekaert is not certified under SOC 2 Type 1.

Does Bridon® Steel Wire Ropes by Bekaert have SOC 2 Type 2 certification ?

According to Rankiteo, Bridon® Steel Wire Ropes by Bekaert does not hold a SOC 2 Type 2 certification.

Does Bridon® Steel Wire Ropes by Bekaert comply with GDPR ?

According to Rankiteo, Bridon® Steel Wire Ropes by Bekaert is not listed as GDPR compliant.

Does Bridon® Steel Wire Ropes by Bekaert have PCI DSS certification ?

According to Rankiteo, Bridon® Steel Wire Ropes by Bekaert does not currently maintain PCI DSS compliance.

Does Bridon® Steel Wire Ropes by Bekaert comply with HIPAA ?

According to Rankiteo, Bridon® Steel Wire Ropes by Bekaert is not compliant with HIPAA regulations.

Does Bridon® Steel Wire Ropes by Bekaert have ISO 27001 certification ?

According to Rankiteo,Bridon® Steel Wire Ropes by Bekaert is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Bridon® Steel Wire Ropes by Bekaert operate in ?

Bridon® Steel Wire Ropes by Bekaert operates primarily in the Manufacturing industry.

How many employees does Bridon® Steel Wire Ropes by Bekaert have ?

Bridon® Steel Wire Ropes by Bekaert employs approximately 604 people worldwide.

Does Bridon® Steel Wire Ropes by Bekaert own any subsidiaries ?

Bridon® Steel Wire Ropes by Bekaert presently has no subsidiaries across any sectors.

How many LinkedIn followers does Bridon® Steel Wire Ropes by Bekaert have ?

Bridon® Steel Wire Ropes by Bekaert's official LinkedIn profile has approximately 17,791 followers.

What is the NAICS classification code for Bridon® Steel Wire Ropes by Bekaert ?

Bridon® Steel Wire Ropes by Bekaert is classified under the NAICS code 30, which corresponds to Manufacturing.

Does Bridon® Steel Wire Ropes by Bekaert have a Crunchbase profile ?

No, Bridon® Steel Wire Ropes by Bekaert does not have a profile on Crunchbase.

Does Bridon® Steel Wire Ropes by Bekaert have a LinkedIn profile ?

Yes, Bridon® Steel Wire Ropes by Bekaert maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/bridon-bekaert.

How many cybersecurity incidents has Bridon® Steel Wire Ropes by Bekaert experienced ?

As of June 23, 2026, Rankiteo reports that Bridon® Steel Wire Ropes by Bekaert has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Bridon® Steel Wire Ropes by Bekaert have ?

Bridon® Steel Wire Ropes by Bekaert has an estimated 8,154 peer or competitor companies worldwide.

What types of cybersecurity incidents has Bridon® Steel Wire Ropes by Bekaert faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach.

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BSWRB

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732

/1000

Moderate

757

/1000

Fair

Bridon® Steel Wire Ropes by Bekaert Vendor Cyber Rating & Cyber Score

bekaert.com

Add Your Compliance Badge

Bridon-Bekaert Ropes Group (www.Bridon-Bekaert.com) is the world’s premier supplier of mission-critical advanced cords and ropes. As a leading innovator, developer and producer of the best performing ropes and advanced cords globally, the Group provides superior value solutions to the oil & gas, mining, crane, elevator and other industrial sectors. Two of the most enduring wire and rope pioneers joined forces in 2016 to make this ambition real. Bridon-Bekaert Ropes Group has a global manufacturing footprint and employs approximately 2500 people worldwide.

BSWRB A.I CyberSecurity Scoring

Scoring History

BSWRB

Bridon® Steel Wire Ropes by Bekaert CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Bridon® Steel Wire ...

Breach

100

10/2022

BRI2227191022

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A.I.

BSWRB Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for BSWRB

Incidents vs Manufacturing Industry Avg (This Year)

No incidents recorded for Bridon® Steel Wire Ropes by Bekaert in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Bridon® Steel Wire Ropes by Bekaert in 2026.

Incident Types BSWRB vs Manufacturing Industry Avg (This Year)

No incidents recorded for Bridon® Steel Wire Ropes by Bekaert in 2026.

Incident History - BSWRB (X = Date, Y = Severity)

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SUBSIDIARY

Bridon® Steel Wire Ropes by Bekaert Subsidiaries

Parent Company

BSWRB

Manufacturing

Website: http://www.ropes.bekaert.com

Company Size: 1,001-5,000 employees

No subsidiary data available for this company.

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NEWS

Bridon® Steel Wire Ropes by Bekaert CyberSecurity News

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-54236

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 5.3)

cvss3

Base Score: 5.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-54235

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 6.9

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

CVE-2026-54233

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

CVE-2026-54232

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 8.8)

cvss3

Base Score: 8.8

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Impact Score

5.9

Exploitability

2.8

REFERENCES

https://github.com/vllm-project/vllm/security/advisories/GHSA-jrf6-vqxq-pjv2

CVE-2026-53923

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

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